DocumentCode :
3223514
Title :
Hydra: multiple people detection and tracking using silhouettes
Author :
Haritaoglu, Ismail ; Harwood, David ; Davis, Larry S.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fYear :
1999
fDate :
1999
Firstpage :
280
Lastpage :
285
Abstract :
Hydra is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm
Keywords :
correlation methods; image classification; image matching; image segmentation; object detection; real-time systems; tracking; Hydra; classification; computational models; correlation-based matching; foreground region; motion model; multiple people detection; occlusion; real-time performance; real-time system; region segmentation; robustness; silhouette-based shape model; tracking; Computational modeling; Computer vision; Educational institutions; Identity-based encryption; Intelligent systems; Laboratories; Machine vision; Real time systems; Surveillance; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
Type :
conf
DOI :
10.1109/ICIAP.1999.797608
Filename :
797608
Link To Document :
بازگشت